- Basic-Statistics-For-Data-Science
- Measures of Variability and Spread: Variance and Standard Deviation
- Conditional Probability for Data Science and its visualization using Probability tree
- Importance of Bayes’ Theorem in Data Science and Machine Learning
- What is Linear Regression? Part: 1
- What is Linear Regression? Part: 2
- What is Logistic Regression
- Co-variance and Correlation
- What is the Coefficient of Determination | R Square
- Feature Selection Techniques in Regression Model
- What is “stepAIC” in R?
- What is Multicollinearity in R?
- A complete guide to Principal Component Analysis – PCA in Machine Learning
- Step by step approach to Principal Component Analysis Using Python
- A Complete guide to k-nearest-neighbors algorithm KNN-using-python
ML Infographics Gallery
Database Topics for GATE
Relational Model
- Relational Algebra – Degree, Cardinality, Domain, Union Compatibility and Operators
- Cartesian Product
- Join Operators in DBMS
- Join Conditions – Natural Join, On Condition, Using Attribute
- Join Types – inner, left outer, right outer and outer join
Normalization & Normal Forms
- Types of Functional Dependencies in Normalization
- Super Key, Candidate Key and Primary Key
- How to find attribute closure using Functional Dependency
- Procedure to determine Candidate key using attribute closure
- Prime and Non Prime Attributes
- Normal Forms
- Procedure to decompose a given relation in BCNF – BCNF Algorithm
Transactions and Concurrency control
- What is Transaction and ACID Properties
- Atomicity in detail
- Transaction Consistency in detail
- Transaction Isolation in detail
- Transaction Durability in detail
- How to check Conflict Serializability using Precedence Graph Algorithm
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